code: def register_llm_trainer(trainer_type: str, default=False):
      """Register a trainer class that supports training the specific type of training strategy for LLM Models.
  
      Using default=True will make the trainer the default trainer for the LLM model type.
  
      Args:
          trainer_type: The trainer_type which dictates what training strategy to use.
          default: Whether the trainer should be the default trainer for LLMs.
      """
  
      def wrap(cls):
          _llm_trainers_registry[trainer_type] = cls
          if default:
              if DEFAULT_KEYS[0] in _trainers_registry:
                  raise ValueError(
                      f"Default trainer {trainer_type} already registered for LLM"
                  )
              for key in DEFAULT_KEYS:
                  _llm_trainers_registry[key] = cls
          return cls
  
      return wrap
  
file_path: ludwig/ludwig/trainers/registry.py
imports: from ludwig.api_annotations import DeveloperAPI
  from ludwig.utils.registry import DEFAULT_KEYS, Registry
label_desc: Use image node_id 7 for calling a global function with example usage: register_llm_trainer(trainer_type, default) and returns: wrap, cls